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Predictors of Ips confusus Outbreaks During a Record Drought in Southwestern USA: Implications for Monitoring and Management

机译:美国西南部创纪录的干旱期间Ips混乱疫情的预测因素:对监测和管理的意义

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摘要

In many ecosystems the effects of disturbance can be cryptic and disturbance may vary in subtle spatiotemporal ways. For instance, we know that bark beetle outbreaks are more frequent in temperate forests during droughts; however, we have little idea about why they occur in some locations and not others. Understanding biotic and abiotic factors promoting bark beetle outbreaks can be critical to predicting and responding to pest outbreaks. Here we address the environmental factors which are associated with Ips confusus outbreaks during the 2002 widespread drought within the distribution range of pinyon pine woodlands in Arizona. We used univariate statistics to test if whether tree characteristics, other herbivores, stand properties, soil type, wind, and topography were associated with I. confusus outbreak, and logistic regression to create a predictive model for the outbreaks. We found that I. confusus attacks occur in low elevation stands on steeper slopes, where favorable winds for I. confusus dispersion occur. I. confusus select larger trees, in high density stands with understory shrubs that exhibit phenotypic traits characteristic of resistance to stem-boring moths. The model was highly accurate, and explained 95% of the variability in occurrence (98% of the absences and 95% of the presences). Accurate prediction of the impacts of disturbance allow us to anticipate, minimize or mitigate for and eventually counteract its effects, especially those affecting diversity and ecosystem function. Identification of outbreak risk areas can guide regional and national management towards the reduction of infestation risk and enhancing conservation of pinyon-juniper woodlands.
机译:在许多生态系统中,扰动的影响可能是隐秘的,扰动可能以细微的时空方式变化。例如,我们知道干旱期间温带森林的树皮甲虫暴发更为频繁。但是,我们对为什么它们出现在某些位置而不是其他位置一无所知。了解促进树皮甲虫暴发的生物和非生物因素对于预测和应对害虫暴发至关重要。在这里,我们解决与2002年亚利桑那州Pinyon松林地区分布范围内的大范围干旱期间与Ips confusus爆发相关的环境因素。我们使用单变量统计数据来检验树木特征,其他草食动物,林分特性,土壤类型,风和地形是否与I. confusus暴发有关,并进行逻辑回归来建立暴发的预测模型。我们发现,在低海拔的陡峭山坡上发生孔雀菌袭击,那里有利于风孔雀石的扩散。 I. confusus选择较大的树木,高密度的林下灌木丛表现出对枯萎蛾抗性的表型特征。该模型非常准确,可以解释95%的发生变异(98%的缺失和95%的存在)。对干扰影响的准确预测使我们能够预测,最小化或减轻其影响,并最终抵消其影响,尤其是那些影响多样性和生态系统功能的影响。查明暴发危险区域可指导区域和国家管理,以减少侵扰风险并加强对松柏林的保护。

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